Triple
T5808584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suresnes American Cemetery |
E128809
|
entity |
| Predicate | numberOfWorldWarIINamesOnWallOfMissing |
P66447
|
FINISHED |
| Object | 24 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 24 | Statement: [Suresnes American Cemetery, numberOfWorldWarIINamesOnWallOfMissing, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldWarIINamesOnWallOfMissing Context triple: [Suresnes American Cemetery, numberOfWorldWarIINamesOnWallOfMissing, 24]
-
A.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
B.
numberOfHoldersKilledInWorldWarII
Indicates the number of holders of a given title, position, or role who were killed during World War II.
-
C.
statusDuringWorldWarII
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
D.
percentageDestroyedInWWIIApproximate
Indicates the approximate proportion of something that was destroyed during World War II.
-
E.
worldWarIService
Indicates that an entity served or participated in military service during World War I.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.